第04讲智能决策理论与方法-2ppt课件

1、)()(|)()(vFvbFaF)()(Re|)()()(RevApplevdvApplevCirclevd)()()(Re|)()(RevApplevBluevdvApplevd)()()(Re|)()()(RevApplevCirclevdvApplevCirclevdsxLxbvAauA)()(|)()(动物哺乳类鸟类企鹅食肉类蹄类飞禽类走禽类虎印度豹长颈鹿斑马信天翁鹰驼鸟第1层第2层第3层第4层A0A1A1A2-11-11-110010110A0A1A1A2-11-11-110010110)log()log(),(NPNNPNNPPNPPNPIkjjjjjNPINPNPAE1),()(

2、0.9544)1610log(1610)166log(166),(NPI9056. 0)84log8484log84(168)86log8682log82(168)4 , 4(168)6 , 2(168)(0IIAE类似地，求出类似地，求出E(A1)，E(A2)，E(A3)。比较它们的大小，选择。比较它们的大小，选择期望信息熵最小的属性作为根结点。依次构造子决策树，直至期望信息熵最小的属性作为根结点。依次构造子决策树，直至所有的训练样本均能够被正确分类。所有的训练样本均能够被正确分类。)()()(ASplitiAGainAgainratiokjjjjjnNPnNPASpliti1)log()(

3、xxxxxf|)(xxxf11)(xxxeexforexf11)(11)(PppPpppEYYE1121)(21 1jijijiEttt012345678910-0.500.511.522.533.54012345678910-0.500.511.522.533.540510152025303540455010-310-210-110010110250 EpochsTraining-BluePerformance is 0.00225488, Goal is 0dxdyyxpyxffR),()()(liiiempyxflfR1)(1)()()(limfRfRempl)(min()(min(li

4、mfRfRempllhlhfRfRemp)4ln) 12(ln()()(2|wbwxdii1)(. .21minbwxytswwiiTdixxxxK)1 (),(21)/exp(),(2221ixxxxK)(tanh(),(2121kxxkxxKi),(,),(),(),(PcP210iiiikiiiiiiiiCciCccccccccc3kiki-ki-1 121ikieci1ikic2ic1ic0iics )(122)()()(11iiililssijisesmscmiikill1) 1)()()(),(/UCardXCCarddCkdUXNiiiidCdCN1),(),(s40.31s20.49s10.14s30.061)() 1)(11irkjlijj) 1)() 1)(11iijjkilkjl)() 1)(11irkjlijj1911922.6134.527093.122612031.2138.720278.2116.1931515.519910.9228.718653.411112013.2217.110117.2218.812122.7113.615020.4123.226652.5114.8588.61